Pulse Daily — Sunday, October 11, 2026

We begin with the story that is leading every financial desk this morning.

NVIDIA, the world's most valuable company at roughly $5.5 trillion in market cap, is in talks to acquire or deepen its investment in Reflection AI, a US open-weight startup that was founded by former Google DeepMind researchers.

The Financial Times broke it, Bloomberg confirmed the early-stage nature of the talks, and the AI world has been buzzing ever since.

Amber, walk us through what we actually know.

Ido, the contours of this deal are genuinely fascinating.

NVIDIA already had approximately $800 million riding on Reflection AI before these talks began.

Reflection was then valued at $25 billion in its most recent funding round, roughly triple its prior $8 billion valuation.

That tripling happened fast, even by AI boom standards.

Now, NVIDIA is reportedly considering everything from an outright acquisition to an acqui-hire, where it would absorb the team and license the technology, a move that would structurally echo what it did with Grok, and that would help it sidestep the kind of full antitrust review a straight buyout at this price would attract.

What makes this strategically interesting is what Reflection actually builds.

On October 5th, just days before these talks leaked, Reflection released its first model, called Beam, a 501 billion parameter model trained on 23.8 trillion tokens.

NVIDIA's play here is explicitly about open-weight models, which are becoming the battlefield against cost-effective Chinese rivals like DeepSeek, Quen, and Moonshot.

By owning or tightly binding reflection, NVIDIA isn't just selling the picks and shovels, It would be planting a flag in the gold itself.

The FT sources said a deal could come in weeks.

Nothing is finalized.

But if it closes as an acquisition, it would eclipse the $13 billion Nvidia paid for Hugging Face and rank as the largest AI acquisition in the company's history.

And Amber, the money flowing through this sector right now is staggering in both directions, not just in dealmaking, but in what it costs to actually run these models at scale.

Which brings us to a story that ties directly to that, the Anthropic SpaceX compute arrangement, details of which have been spilling out of an IPO prospectus dated around September 29th.

Anthropix Confidential Filing reveals the company committed to paying up to $84.5 billion to Elon Musk's XAI for compute capacity through May 2029, with monthly payments running to roughly $1.25 billion.

That is not a typo.

$1.25 billion per month.

The architect of this deal is Tom Brown.

Anthropic's co-founder and chief compute officer.

The Wall Street Journal described Brown as a Republican who runs the company's compute deals and serves as Anthropic's main go-between with the Trump administration and with Musk.

The Wall Street Journal also reported that Brown flew to SpaceX headquarters in March and personally argued that Anthropic was less, and I'm paraphrasing here, ideologically fraught than Musk had assumed.